Apr 7-8, 2022
9:00 - 17:30
Instructors: Aleksander Jankowski, Vanessa Linke
Helpers: Szymon Goleń, Grzegorz Łach, Patrycja Rosa, Tomasz Stępkowski
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".
Who: The workshop is aimed at graduate students and other researchers from the scientific community of Warsaw. The workshop is co-hosted by the University of Warsaw and the International Institute of Molecular Mechanisms and Machines (IMol) of the Polish Academy of Sciences. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Room 2180, ul. Banacha 2, 02-097 Warszawa, Poland. Get directions with OpenStreetMap or Google Maps.
When: Apr 7-8, 2022. Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
Please get in touch (using contact details below) if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email ajank@mimuw.edu.pl for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
The registration is open until March 29, 2022. Please use the registration form provided.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
We will mostly follow the curriculum of the Data Carpentry lesson Data Analysis and Visualization in R for Ecologists.
| Pre-workshop survey | |
| 9:00 | Before we start, Introduction to R |
| 10:40 | Coffee break |
| 11:00 | Starting with data |
| 12:40 | Lunch break (lunch not provided) |
| 13:40 | Manipulating, analyzing and exporting data with tidyverse |
| 15:20 | Coffee break |
| 15:40 | Manipulating, analyzing and exporting data with tidyverse (continued) |
| 17:30 | End |
| 9:00 | Data visualization with ggplot2 |
| 10:40 | Coffee break |
| 11:00 | Data visualization with ggplot2 (continued) |
| 12:40 | Lunch break (lunch not provided) |
| 13:40 | Foundations of R programming: Functions Explained, Control Flow |
| 15:20 | Coffee break |
| 15:40 | Foundations of reproducible scientific analysis: Writing Good Software, Producing Reports With knitr |
| 17:30 | End |
| Post-workshop survey |
To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
Please install a recent version of R and RStudio, as well as a few required R packages. The setup instructions can be found at the overview site of the Data Analysis and Visualization in R for Ecologists lesson. If you encounter any problems, you can get help during the troubleshooting session before the workshop.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.